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56935684c3
------ - [Generic TypeAlias (PEP 585)](https://peps.python.org/pep-0585): e.g. `typing.List[T] -> list[T]`, `typing.Dict[KT, VT] -> dict[KT, VT]`, `typing.Type[T] -> type[T]`. - [Union Type (PEP 604)](https://peps.python.org/pep-0604): e.g. `Union[X, Y] -> X | Y`, `Optional[X] -> X | None`, `Optional[Union[X, Y]] -> X | Y | None`. Note that in `.pyi` stub files, we do not need `from __future__ import annotations`. So this PR does not violate issue #117449: - #117449 Pull Request resolved: https://github.com/pytorch/pytorch/pull/129419 Approved by: https://github.com/ezyang ghstack dependencies: #129375, #129376
29 lines
877 B
Python
29 lines
877 B
Python
# mypy: allow-untyped-defs
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from typing_extensions import TypeGuard
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from torch import device, dtype, Tensor
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class Parameter(Tensor):
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def __init__(self, data: Tensor = ..., requires_grad: bool = ...) -> None: ...
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def is_lazy(
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param: Tensor,
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) -> TypeGuard[UninitializedParameter | UninitializedBuffer]: ...
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class UninitializedParameter(Tensor):
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def __init__(self, data: Tensor = ..., requires_grad: bool = ...) -> None: ...
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def materialize(
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self,
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shape: tuple[int, ...],
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device: device | None = None,
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dtype: dtype | None = None,
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) -> None: ...
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class UninitializedBuffer(Tensor):
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def __init__(self, data: Tensor = ..., requires_grad: bool = ...) -> None: ...
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def materialize(
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self,
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shape: tuple[int, ...],
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device: device | None = None,
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dtype: dtype | None = None,
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) -> None: ...
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